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Django Python Jobs in Wisconsin (NOW HIRING)

Rivi Consulting Group

Java Software emgineer

Green Bay, WI · On-site

$50.25 - $69/hr

Proficiency in Python for scripting, automation, data manipulation, or potentially backend API development (e.g., using Flask/Django, though Java/Spring is primary). Domain Understanding ...

Deloitte

CyberArk Senior Consultant

Milwaukee, WI · On-site

Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot). * Experience building and consuming REST APIs and microservices. * Experience with ...

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Django Python information

See Wisconsin salary details

$23.2K

$116.2K

$403.2K

How much do django python jobs pay per year?

As of Jul 29, 2026, the average yearly pay for django python in Wisconsin is $116,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $160,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Django Python developers in their daily work?

Django Python developers often encounter challenges such as optimizing database performance, ensuring code scalability, and integrating third-party APIs or legacy systems into Django-based applications. Keeping up with regular security updates and best coding practices is also essential, as web applications must be robust and secure. Additionally, developers may need to collaborate closely with front-end teams, designers, and product managers, requiring flexibility and strong communication skills. These challenges provide ongoing opportunities to problem-solve, innovate, and develop expertise in web development and team collaboration.

What are the key skills and qualifications needed to thrive in the Django Python position, and why are they important?

To thrive as a Django Python developer, you need strong proficiency in Python programming, experience with the Django web framework, and a solid understanding of databases and web technologies. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and knowledge of front-end technologies is often required, with additional value placed on Django or Python certifications. Effective problem-solving, teamwork, and clear communication are essential soft skills for collaborating within development teams. These skills are crucial to building, maintaining, and scaling reliable web applications in a dynamic tech environment.

What is a Django Python job?

A Django Python job typically involves developing web applications using Django, a high-level Python web framework. Professionals in this role are responsible for building, maintaining, and optimizing web applications, working with databases, and implementing secure authentication systems. They often collaborate with front-end developers, project managers, and other team members to create scalable and efficient web solutions.

What are popular job titles related to Django Python jobs in Wisconsin? For Django Python jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Django Python jobs in Wisconsin look for? The top searched job categories for Django Python jobs in Wisconsin are:
Django Python jobs near you
Infographic showing various Django Python job openings in Wisconsin as of July 2026, with employment types broken down into 9% Internship, 69% Full Time, 16% Part Time, 5% Contract, and 1% Nights. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $116,183 per year, or $55.9 per hour.

Java Software emgineer

Rivi Consulting Group

Green Bay, WI • On-site

$50.25 - $69/hr

Other

Posted 18 days ago

Job description

Java Software Engineer 
 Green Bay, WI (Onsite)
only on w2
 
Core Characteristics and Soft Skills:

Beyond technical proficiency, the right mindset and interpersonal skills are crucial for success on our team. We’d prioritize candidates who demonstrate:

  • Problem-Solving Acumen: The ability to analyze complex problems, break them down, evaluate different approaches, and implement robust, efficient solutions. This includes troubleshooting existing systems and designing new ones.
  • Independence and Initiative: We value engineers who can take ownership of tasks, research potential solutions independently, make informed decisions, and drive work forward with minimal supervision once objectives are clear.
  • Dependability and Accountability: Team members must be reliable, meet commitments, deliver high-quality work, and take responsibility for their contributions.
  • Strong Communication Skills: Clear, concise communication (both written and verbal) is essential. This includes explaining technical concepts to varied audiences, actively listening, providing constructive feedback, and documenting work effectively.
  • Collaboration and Teamwork: Ability to work effectively within a team structure, share knowledge, participate in code reviews, and contribute to a positive team dynamic.
  • Adaptability and Eagerness to Learn: The technology landscape and business needs evolve. We seek individuals who are curious, adaptable, and willing to learn new technologies and methodologies.

Core Technical Skillset:

Our current technology stack forms the foundation of our work. Proficiency or strong experience in the following areas is highly desirable:

  • Backend Development:
    • Java: Deep understanding of Java (latest LTS versions preferred).
    • Spring Boot: Extensive experience building applications and microservices using the Spring Boot framework and its ecosystem (e.g., Spring Data, Spring Security, Spring Cloud).
  • Messaging Systems:
    • Apache Kafka: Solid understanding of Kafka concepts (topics, producers, consumers, partitioning, brokers) and experience building event-driven systems.
  • Containerization & Orchestration:
    • Kubernetes: Practical experience deploying, managing, and troubleshooting applications on Kubernetes.
    • OCP (OpenShift Container Platform): Experience specifically with OpenShift is a significant advantage.
    • AKS (Azure Kubernetes Service): Experience with AKS is also highly relevant.
    • (General Docker knowledge is expected)
  • CI/CD & DevOps:
    • GitHub Actions: Proven experience in creating, managing, and optimizing CI/CD pipelines using GitHub Actions for build, test, and deployment automation.
    • Understanding of Git branching strategies and DevOps principles.
  • Frontend Development:
    • JavaScript: Strong proficiency in modern JavaScript (ES6+).
    • React: Experience building user interfaces with the React library and its common patterns/ecosystem (e.g., state management, hooks).
  • Database & Data Warehousing:
    • Oracle: Experience with Oracle databases, including writing efficient SQL queries, understanding data modeling, and potentially PL/SQL.
    • Snowflake: Experience with Snowflake cloud data warehouse, including data loading, querying (SQL), and understanding its architecture.
  • Scripting:
    • Python: Proficiency in Python for scripting, automation, data manipulation, or potentially backend API development (e.g., using Flask/Django, though Java/Spring is primary).

Domain Understanding (Transportation & Logistics):

While not strictly mandatory, candidates with experience or a demonstrated understanding of the transportation and logistics industry (e.g., supply chain management, freight operations, warehousing, fleet management, routing optimization, TMS systems) will be able to contribute more quickly and effectively. They can better grasp the business context and user needs.

 Additional Valuable Skills:

We are also interested in candidates who may possess skills in related areas that complement our core activities:

  • Data Science & Analytics:
    • Experience with data analysis techniques.
    • Knowledge of Machine Learning (ML) concepts and algorithms (particularly relevant for optimization, forecasting, anomaly detection in logistics).
    • Proficiency with Python data science libraries (Pandas, NumPy, Scikit-learn).
    • Experience with data visualization tools and techniques.
    • Understanding of optimization algorithms (linear programming, vehicle routing problem algorithms, etc.).
  • Cloud Platforms: Broader experience with cloud services (particularly Azure, but also AWS or Google Cloud Platform) beyond Kubernetes (e.g., managed databases, serverless functions, monitoring services).
  • Testing: Strong experience with automated testing practices and tools (e.g., JUnit, Mockito, Cypress, Selenium, Postman/Newman).
  • API Design & Management: Deep understanding of RESTful API design principles, API security (OAuth, JWT), and potentially experience with API gateways.
  • Monitoring & Observability: Experience with tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Dynatrace, etc., for monitoring application health and performance.
  • Security: Awareness and application of secure coding practices (e.g., OWASP Top 10).
 
 

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